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Detection and size quantification of pulmonary nodules in ultralow-dose versus regular-dose CT: a comparative study in COPD patients

OBJECTIVE: To evaluate detectability and semi-automatic diameter and volume measurements of pulmonary nodules in ultralow-dose CT (ULDCT) vs regular-dose CT (RDCT). METHODS: Fifty patients with chronic obstructive pulmonary disease (COPD) underwent RDCT on 64-multidetector CT (120 kV, filtered back...

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Autores principales: Han, Daiwei, Cai, Jiali, Heus, Anne, Heuvelmans, Marjolein, Imkamp, Kai, Dorrius, Monique, Pelgrim, Gert-Jan, de Jonge, Gonda, Oudkerk, Matthijs, van den Berge, Maarten, Vliegenthart, Rozemarijn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The British Institute of Radiology. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10078877/
https://www.ncbi.nlm.nih.gov/pubmed/36728829
http://dx.doi.org/10.1259/bjr.20220709
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author Han, Daiwei
Cai, Jiali
Heus, Anne
Heuvelmans, Marjolein
Imkamp, Kai
Dorrius, Monique
Pelgrim, Gert-Jan
de Jonge, Gonda
Oudkerk, Matthijs
van den Berge, Maarten
Vliegenthart, Rozemarijn
author_facet Han, Daiwei
Cai, Jiali
Heus, Anne
Heuvelmans, Marjolein
Imkamp, Kai
Dorrius, Monique
Pelgrim, Gert-Jan
de Jonge, Gonda
Oudkerk, Matthijs
van den Berge, Maarten
Vliegenthart, Rozemarijn
author_sort Han, Daiwei
collection PubMed
description OBJECTIVE: To evaluate detectability and semi-automatic diameter and volume measurements of pulmonary nodules in ultralow-dose CT (ULDCT) vs regular-dose CT (RDCT). METHODS: Fifty patients with chronic obstructive pulmonary disease (COPD) underwent RDCT on 64-multidetector CT (120 kV, filtered back projection), and ULDCT on third-generation dual source CT (100 kV with tin filter, advanced modeled iterative reconstruction). One radiologist evaluated the presence of nodules on both scans in random order, with discrepancies judged by two independent radiologists and consensus reading. Sensitivity of nodule detection on RDCT and ULDCT was compared to reader consensus. Systematic error in semi-automatically derived diameter and volume, and 95% limits of agreement (LoA) were evaluated. Nodule classification was compared by κ statistics. RESULTS: ULDCT resulted in 83.1% (95% CI: 81.0–85.2) dose reduction compared to RDCT (p < 0.001). 45 nodules were present, with diameter range 4.0–25.3 mm and volume range 16.0–4483.0 mm(3). Detection sensitivity was non-significant (p = 0.503) between RDCT 88.8% (95% CI: 76.0–96.3) and ULDCT 95.5% (95% CI: 84.9–99.5). No systematic bias in diameter measurements (median difference: −0.2 mm) or volumetry (median difference: −6 mm(3)) was found for ULDCT compared to RDCT. The 95% LoA for diameter and volume measurements were ±3.0 mm and ±33.5%, respectively. κ value for nodule classification was 0.852 for diameter measurements and 0.930 for volumetry. CONCLUSION: ULDCT based on Sn100 kV enables comparable detectability of solid pulmonary nodules in COPD patients, at 83% reduced radiation dose compared to RDCT, without relevant difference in nodule measurement and size classification. ADVANCES IN KNOWLEDGE: Pulmonary nodule detectability and measurements in ULDCT are comparable to RDCT.
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spelling pubmed-100788772023-04-07 Detection and size quantification of pulmonary nodules in ultralow-dose versus regular-dose CT: a comparative study in COPD patients Han, Daiwei Cai, Jiali Heus, Anne Heuvelmans, Marjolein Imkamp, Kai Dorrius, Monique Pelgrim, Gert-Jan de Jonge, Gonda Oudkerk, Matthijs van den Berge, Maarten Vliegenthart, Rozemarijn Br J Radiol Full Paper OBJECTIVE: To evaluate detectability and semi-automatic diameter and volume measurements of pulmonary nodules in ultralow-dose CT (ULDCT) vs regular-dose CT (RDCT). METHODS: Fifty patients with chronic obstructive pulmonary disease (COPD) underwent RDCT on 64-multidetector CT (120 kV, filtered back projection), and ULDCT on third-generation dual source CT (100 kV with tin filter, advanced modeled iterative reconstruction). One radiologist evaluated the presence of nodules on both scans in random order, with discrepancies judged by two independent radiologists and consensus reading. Sensitivity of nodule detection on RDCT and ULDCT was compared to reader consensus. Systematic error in semi-automatically derived diameter and volume, and 95% limits of agreement (LoA) were evaluated. Nodule classification was compared by κ statistics. RESULTS: ULDCT resulted in 83.1% (95% CI: 81.0–85.2) dose reduction compared to RDCT (p < 0.001). 45 nodules were present, with diameter range 4.0–25.3 mm and volume range 16.0–4483.0 mm(3). Detection sensitivity was non-significant (p = 0.503) between RDCT 88.8% (95% CI: 76.0–96.3) and ULDCT 95.5% (95% CI: 84.9–99.5). No systematic bias in diameter measurements (median difference: −0.2 mm) or volumetry (median difference: −6 mm(3)) was found for ULDCT compared to RDCT. The 95% LoA for diameter and volume measurements were ±3.0 mm and ±33.5%, respectively. κ value for nodule classification was 0.852 for diameter measurements and 0.930 for volumetry. CONCLUSION: ULDCT based on Sn100 kV enables comparable detectability of solid pulmonary nodules in COPD patients, at 83% reduced radiation dose compared to RDCT, without relevant difference in nodule measurement and size classification. ADVANCES IN KNOWLEDGE: Pulmonary nodule detectability and measurements in ULDCT are comparable to RDCT. The British Institute of Radiology. 2023-04-01 2023-02-20 /pmc/articles/PMC10078877/ /pubmed/36728829 http://dx.doi.org/10.1259/bjr.20220709 Text en © 2023 The Authors. Published by the British Institute of Radiology https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 Unported License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
spellingShingle Full Paper
Han, Daiwei
Cai, Jiali
Heus, Anne
Heuvelmans, Marjolein
Imkamp, Kai
Dorrius, Monique
Pelgrim, Gert-Jan
de Jonge, Gonda
Oudkerk, Matthijs
van den Berge, Maarten
Vliegenthart, Rozemarijn
Detection and size quantification of pulmonary nodules in ultralow-dose versus regular-dose CT: a comparative study in COPD patients
title Detection and size quantification of pulmonary nodules in ultralow-dose versus regular-dose CT: a comparative study in COPD patients
title_full Detection and size quantification of pulmonary nodules in ultralow-dose versus regular-dose CT: a comparative study in COPD patients
title_fullStr Detection and size quantification of pulmonary nodules in ultralow-dose versus regular-dose CT: a comparative study in COPD patients
title_full_unstemmed Detection and size quantification of pulmonary nodules in ultralow-dose versus regular-dose CT: a comparative study in COPD patients
title_short Detection and size quantification of pulmonary nodules in ultralow-dose versus regular-dose CT: a comparative study in COPD patients
title_sort detection and size quantification of pulmonary nodules in ultralow-dose versus regular-dose ct: a comparative study in copd patients
topic Full Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10078877/
https://www.ncbi.nlm.nih.gov/pubmed/36728829
http://dx.doi.org/10.1259/bjr.20220709
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